作者:Pan, L (Pan, L.)[ 1 ] ; Cai, C (Cai, C.)[ 2 ] ; Santerre, R (Santerre, R.)[ 3 ] ; Zhang, X (Zhang, X.)[ 1 ]
SURVEY REVIEW
卷: 49
期: 354
页: 197-205
DOI: 10.1080/00396265.2016.1151628
出版年: 2017
摘要
The single point positioning (SPP) mode has been widely used in many fields such as vehicle navigation, Geographic Information System and land surveying. For a long period, the SPP technology mainly relies on GPS system. With the recent revitalisation of the GLONASS constellation and two newly emerging constellations of BeiDou and Galileo, it is now feasible to investigate the performance of quad-constellation integrated SPP (QISPP) with GPS, GLONASS, BeiDou and Galileo measurements. As a satellite-based positioning technology, the QISPP is expected to improve the accuracy and availability of positioning solutions due to the increased number of visible satellites and the improved satellite sky distribution. In this study, a QISPP model is presented to simultaneously process observations from all four Global Navigation Satellite System (GNSS) constellations. Datasets collected at 47 globally distributed Multi-GNSS Experiment (MGEX) stations on two consecutive days and a kinematic experimental dataset are employed to fully assess the QISPP performance in terms of positioning accuracy and availability. Given that most navigation users are using single-frequency receivers, only the observations on a single frequency are utilised. The results indicate that the QISPP improves the positioning accuracy by an average of 16, 13 and 12% using the MGEX datasets, and 43, 31 and 51% using the kinematic experimental dataset over the GPS-only case in the east, north and up components, respectively. The availability of the QISPP solutions remains 100% even for a mask elevation angle of 40 degrees, whereas it is only 37% for the GPS-only case. All these results are achieved using geodetic-type receivers and they are possibly optimistic for users who use navigation-type receivers.
关键词
作者关键词:Single point positioning; GPS; GLONASS; BeiDou; Galileo
KeyWords Plus:NAVIGATION; ALGORITHM; SYSTEM; MODEL
作者信息
通讯作者地址: Cai, C (通讯作者)
| Cent S Univ, Sch Geosci & Infophys, Changsha 410083, Hunan, Peoples R China. |
地址:
| [ 1 ] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China |
| [ 2 ] Cent S Univ, Sch Geosci & Infophys, Changsha 410083, Hunan, Peoples R China |
| [ 3 ] Univ Laval, Dept Sci Geomat, Quebec City, PQ G1V 0A6, Canada |
电子邮件地址:cscai@hotmail.com
基金资助致谢
基金资助机构 | 授权号 |
Scientific Research Fund of Hunan Provincial Education Department | 13K007 |
Hunan Provincial Innovation Platform and Talents Program | 2015RS4007 |
Teacher Research Fund at Central South University | 2013JSJJ004 |
出版商
TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
类别/分类
研究方向:Engineering; Geology; Remote Sensing
Web of Science类别:Engineering, Civil; Geosciences, Multidisciplinary; Remote Sensing
文献信息
文献类型:Article
语种:English
入藏号: WOS:000398039900006
ISSN: 0039-6265
eISSN: 1752-2706
期刊信息
· Impact Factor (影响因子): 0.573
